6930 – This technology uses past information about some system to infer non-minimum-phase zeros. Non-minimum-phase zeros occur in a large number of physical systems from riding a bike to aerodynamics to vibration. Understanding a system’s non-minimum-phase zeros is crucial to being able to control that system. At the moment, non-minimum-phase zeroes have to be determined empirically, through... Read More

7165 – This technology is an improvement on caching algorithms to help ensure fast content delivery over networks. Content providers, such as YouTube, Netflix, or iTunes, need to make sure popular content is available to users. One way to do this is to cache popular content (or data that is expected to become popular). However, there is a tremendous amount of content with user demand constantly... Read More

6770 – This technology offers a fully-functioning platform for both training and learning reinforcement for professional development in universities. Currently, no technology exists to meet all the needs of higher education institutions, leaving the only option of using different programs to achieve each goal. This approach can be difficult and disconnected for learners. The alternative is... Read More

6742 – Usage behaviors of different smartphone apps capture different views of an individual’s life, and are largely independent of each other. However, in the current mobile app ecosystem, a curious party can covertly link and aggregate usage behaviors of the same user across different apps. In this invention, they present a method of monitoring, characterizing and reducing the underlying... Read More

6360 – In heterogeneous computing, a computer system is equipped with multiple types of processors, each designed to optimally execute specific types of tasks. Historically, central processing units (CPUs) handle non data-parallel work such as sequential code and data transfer management, while graphics processing units (GPUs) handle data-parallel work due to their massive number of cores.... Read More

6739 – This technology is geared toward improving the efficiency of Intelligent Personal Assistants (IPAs). IPAs such as [Apple’s Siri] (https://www.apple.com/ios/siri/) are becoming more common, and receiving more use each year. As use of these technologies increases, the servers that support them need to become more efficient at processing requests. Improvements in software architecture can... Read More

6411 – With increasing computational processing demands required by next generation devices, there is a growing need for better methods of improving performance and efficiency for handling these compute intensive applications. Areas such as data mining, machine learning, and processing audio/visual streams could benefit greatly from enhanced computing methods. The central tenant of approximate... Read More

6514 – The proposed technology is a method to approach an extremely prevalent problem—how to provide ranks to some set of items. This happens quite commonly, and is not always simple! For instance, when searching for a partner to date, the best choice isn’t necessarily the most attractive person, but the most attractive person who also finds you sufficiently attractive. This general problem... Read More

6275 – This solution uses an automated statistical model to identify students at risk of attrition. This will allow students or administrators to take necessary interventions and steps to ensure student retention and success. Student attrition is a major factor affecting university income, representing a loss of nearly [10% of potential revenues.] (http://seatssoftware.com/student-retention.html)... Read More

5158 – Post-Silicon Validation
Electronic technologies’ increasing dependence on processing capabilities necessitates efficient and effective verification of the processor design (pre-silicon validation) and physical prototype (post-silicon validation). In developing a design, the operation can be simulated with great control of the test paths and the deterministic transparency allows bugs to be... Read More

6399 – The proposed technology is a quick, accurate, and sound method for finding the most important features in a dataset. In big data, knowing which variables are important and which are redundant can be extremely difficult. Selecting appropriate and informative features allows for more powerful statistical inference and more efficient computation and data storage. Current methods make poor... Read More

5906 – Quantum computing has attracted intense interest due to its potential to tackle challenging problems that are difficult or impossible for traditional computing to handle. In quantum computing, the number of variables increases exponentially with the number of particles in the system. Stabilizer states are an important class of quantum states for efficient quantum computing. Previously, a... Read More

6091 – This object tracking camera technology consists of an algorithm that is trained to track a given object in an offline manner by using information from the recorded video to optimize tracking. Current technologies to track objects either use sound localization or magnetic or light sources to track the object. This technology can be trained to recognize and track an object feature (e.g. a... Read More

6378 – Searching for highly-specific data in a particular field, such as law or medicine is a challenging task. Most enterprise search algorithms focus on returning only a few results that are highly relevant, to avoid cluttering with irrelevant returns. But this leaves a huge number of relevant results unreturned in the interest of being conservative. Moreover, the most common complaint for this... Read More

6467 – This technology provides a more user-friendly and accessible format for the American Community Survey (ACS), as well as several scripts for accessing data subsets in the ACS. The American Community Survey (ACS) is an ongoing survey that provides data every year – giving communities the current information they need to plan investments and services. Information from the survey generates data... Read More

6115 – Recently, mobile healthcare market is growing very fast and attracts considerable interest. Portable monitoring devices are one promising type of mobile healthcare devices. For a portable monitoring device, one significant challenge is to reduce motion artifact (MA). The difficulty of MA reduction results from the dynamic nature of MA and the much larger signal amplitude of MA compared to the... Read More

6011 – Multiparameter patient monitors are defined as monitoring systems that measure and display waveforms and numerical data for patient parameters that are used in the diagnosis and treatment of patients in various healthcare settings. In the modern era of healthcare, use of methods like telemetry and evasive monitoring are becoming exceptionally commonplace. These monitoring systems display... Read More

5921 – Internet-wide network scanning becomes important and challenging
Cyber-attack targeted on internet application has become a critical issue. Lots of effects have been made on the internet security. Internet-wide network scanning is very useful for the internet security. There are increasing internet security applications for the internet-wide network scanning, e.g. detecting new... Read More

5911 – Researchers at the University of Michigan have developed a protocol for the efficient over-the-air transmission of file blocks targeted towards low-power and battery-less embedded devices. Current protocols for transferring large data blocks to low-power devices (for example, during firmware updates) require a large number of acknowledgement frames, the transmission of which can consume large... Read More

5740 – Researchers at the University of Michigan have developed an efficient resource analysis and allocation tool to reduce public cloud latency, yielding faster response times for latency-sensitive tasks. The ability of businesses, academic institutions and individuals to access computational resources without possessing in-house infrastructure has lead to the proliferation of cloud-based... Read More

5341 – Ensemble estimators for accurate estimation of information measures
Information Measures in Data-driven systems
In the last decade, data driven systems and algorithms have become extremely popular in a variety of fields. Examples include computer vision, machine learning, security and surveillance, artificial intelligence, transportation systems, bio-informatics, epidemiology,... Read More

5329 – Neuromodulation Systems and Surgical Navigation
Similar to cardiac pacemakers, which electrically stimulate cardiac tissues, neurostimulation devices are a rapidly growing and effective approach to treating neurological illnesses such as Parkinson’s diseases, tremors, pain, and major depression. Stimulation of tissue deep in the brain, called Deep Brain Stimulation (DBS) is proving... Read More

5987 – Understanding the physiology and regulation of feeding behavior in animals is essential for addressing biomedical problems such as obesity and feeding disorders. Feeding is a complex integration of internal and external stimuli that leads to the activation of an organized sequence of motor patterns in animals. Model systems such as Drosophila melanogaster (fruit flies) have been employed... Read More